Masterclass on Statistical Data Analytics & Deep Learning

About the Program

This program is intended for scholars and working professionals from any discipline who already have a basic familiarity with data analysis and deep learning. The first edition, held from June 23–27, 2025, was conducted with great success. Building on that, this second edition offers an expanded and more in‑depth set of topics.
The course is designed across various disciplines including Computer Science, Climate Science, Biology, Finance, Economics and others. It is open to students as well as professionals who wish to acquire advanced data analysis and data science tools for research and professional development.

Objective

1. Introduce advanced data analysis across diverse disciplines.
2. Equip participants with practical skills to enhance research capabilities.
3. Promote interdisciplinary learning.

Key Speakers

🎓 SMSS Faculty, IIT Mandi

Target Audience

📘 Research Scholars (M.Sc./M.Tech/PhD)
👔 Working Professionals
💻 Data Enthusiasts

Schedule

📘 Module 1: Foundations for AI (Day 1)

Python for AI (NumPy, Pandas, TensorFlow/PyTorch)
Probability & Statistics (Basics)
Data Visualization & Preprocessing: Case Studies
Regression & Classification Fundamentals
Model Evaluation (ROC, RMSE, F1)

🧠 Module 2: Neural Networks & Core Architectures (Day 2)

Neural Network Fundamentals & Training
CNNs for Spatial Data
RNN, LSTM, GRU for Sequential Data
Image and Time-Series Applications

⚙️ Module 3: Improving Deep Neural Networks (Day 3)

Optimization (Adam, Learning Rate Scheduling)
Regularization (Dropout, BatchNorm, L1/L2)
Hyperparameter Tuning
Transfer Learning & Fine-Tuning
Handling Overfitting & Small Datasets

🔍 Module 4: Attention & Transformers (Day 4)

Attention Mechanism
Seq2Seq & Encoder–Decoder Models
Self-Attention & Transformers
BERT/GPT Overview
Vision & Time-Series Transformers

🚀 Module 5: AI Models & Applications (Day 5)

Attention Based AI Models
End-to-End Pipeline
Case Study: Rainfall / Air Pollution / Temperature Prediction
Projects on Real-World Datasets

🎯 Bonus Module: Application & Case Study

Case Study: Predicting Rainfall / Air Pollution / Temperature

Registration & Fees

Category	Charges
Offline/Online (For IIT Mandi)	INR 2000/-
Online (Others)	INR 4000/- / USD 100 (Foreign Nationals)
Offline (Outside Students)	INR 8000/-
Offline (Working Professionals)	INR 12000/-

Prices includes boarding and lodging only for external candidates.
Exciting Excursion is also included.
NOTE: Five days participation is necessary to get the certificate.
Register Now